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» A Comparative Evaluation of Term Recognition Algorithms
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ICPR
2004
IEEE
16 years 5 months ago
Recognizing Human Actions: A Local SVM Approach
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
Christian Schüldt, Ivan Laptev, Barbara Caput...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 10 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
BMVC
2010
15 years 2 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
ECOOP
2005
Springer
15 years 9 months ago
Derivation and Evaluation of Concurrent Collectors
There are many algorithms for concurrent garbage collection, but they are complex to describe, verify, and implement. This has resulted in a poor understanding of the relationships...
Martin T. Vechev, David F. Bacon, Perry Cheng, Dav...
134
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SCVMA
2004
Springer
15 years 9 months ago
Local Descriptors for Spatio-temporal Recognition
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
Ivan Laptev, Tony Lindeberg